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» Convergence Properties of the K-Means Algorithms
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SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 8 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
ALT
2004
Springer
15 years 8 months ago
Learning r-of-k Functions by Boosting
We investigate further improvement of boosting in the case that the target concept belongs to the class of r-of-k threshold Boolean functions, which answer “+1” if at least r o...
Kohei Hatano, Osamu Watanabe
ICNSC
2007
IEEE
15 years 6 months ago
Queue Length Based Internet Congestion Control
— In this paper we present new queue length based Internet congestion control protocol which is shown through simulations to work effectively. The control objective is to regulat...
Marios Lestas, Andreas Pitsillides, Petros A. Ioan...
ISBI
2007
IEEE
15 years 6 months ago
Fast Image Reconstruction Methods for Fully 3d Multispectral Optical Bioluminescence Tomography
We investigate fast iterative image reconstruction methods for fully 3D multispectral optical bioluminescence tomography where inhomogeneous optical properties are modeled using t...
Sangtae Ahn, Abhijit J. Chaudhari, Felix Darvas, C...
INFOCOM
2005
IEEE
15 years 5 months ago
Pricing and revenue sharing strategies for Internet service providers
— One of the challenges facing the networking industry today is to increase the profitability of Internet services. This calls for economic mechanisms that can enable providers ...
Linhai He, Jean C. Walrand